Development of an instrument to measure awareness and mitigation of bias in maternal healthcare.

birth equity disparities health equity implicit bias inequity maternal health psychometrics quality improvement reliability validity

Journal

American journal of obstetrics & gynecology MFM
ISSN: 2589-9333
Titre abrégé: Am J Obstet Gynecol MFM
Pays: United States
ID NLM: 101746609

Informations de publication

Date de publication:
04 2023
Historique:
received: 16 12 2022
revised: 03 01 2023
accepted: 14 01 2023
medline: 3 4 2023
pubmed: 23 1 2023
entrez: 22 1 2023
Statut: ppublish

Résumé

Implicit bias among maternal healthcare professionals contributes to disrespectful care and racial and ethnic disparities in patient outcomes, and there is growing consensus that implicit bias training is a key component of birth equity initiatives. A requirement for implicit bias training for healthcare professionals has become more widespread, but the impact training has is largely unknown, in part, because of a lack of validated instruments. Therefore, there is an urgent need for a psychometrically valid instrument for use in the evaluation of implicit bias training. This study aimed to develop a valid and reliable instrument to assess implicit bias awareness and mitigation practices among maternal care professionals and that can be used to evaluate interventions aimed at mitigating such bias in clinical practice. We conducted an instrument development and validation study in 3 phases. In phase 1, item development, we generated a 43-item bank from literature and consultation and established content validity with subject matter experts. In phase 2, instrument development, we administered a revised set of 33 items to 307 nurses and midwives and conducted exploratory factor analysis to demonstrate construct validity and reliability. In phase 3, instrument evaluation, we confirmed the factor structure and compared the means of implicit bias training-exposed and -unexposed participants to further demonstrate construct validity with a representative state sample of 2096 maternal healthcare professionals (physicians, midwives, and nurses). Based on phase 2 results, we retained 23 items for the Bias in Maternal Health Care scale, which showed high internal consistency (Cronbach's alpha, 0.86). We identified 3 subscales, namely a 9-item Bias Awareness subscale (Cronbach's alpha, 0.86), a 7-item Bias Mitigation Practice subscale (Cronbach's alpha, 0.82), and a 7-item Bias Mitigation Self-Efficacy subscale (Cronbach's alpha, 0.81). Validation of the Bias Awareness and Bias Mitigation Practice subscales in phase 3 demonstrated the instrument's high reliability (Cronbach's alpha 0.86 and 0.83, respectively) and discriminating performance among maternal healthcare professionals. We developed a reliable and valid instrument for measuring awareness and mitigation of bias among maternal healthcare professionals. It can be used to evaluate implicit bias training and other bias mitigation interventions in maternal healthcare settings.

Sections du résumé

BACKGROUND
Implicit bias among maternal healthcare professionals contributes to disrespectful care and racial and ethnic disparities in patient outcomes, and there is growing consensus that implicit bias training is a key component of birth equity initiatives. A requirement for implicit bias training for healthcare professionals has become more widespread, but the impact training has is largely unknown, in part, because of a lack of validated instruments. Therefore, there is an urgent need for a psychometrically valid instrument for use in the evaluation of implicit bias training.
OBJECTIVE
This study aimed to develop a valid and reliable instrument to assess implicit bias awareness and mitigation practices among maternal care professionals and that can be used to evaluate interventions aimed at mitigating such bias in clinical practice.
STUDY DESIGN
We conducted an instrument development and validation study in 3 phases. In phase 1, item development, we generated a 43-item bank from literature and consultation and established content validity with subject matter experts. In phase 2, instrument development, we administered a revised set of 33 items to 307 nurses and midwives and conducted exploratory factor analysis to demonstrate construct validity and reliability. In phase 3, instrument evaluation, we confirmed the factor structure and compared the means of implicit bias training-exposed and -unexposed participants to further demonstrate construct validity with a representative state sample of 2096 maternal healthcare professionals (physicians, midwives, and nurses).
RESULTS
Based on phase 2 results, we retained 23 items for the Bias in Maternal Health Care scale, which showed high internal consistency (Cronbach's alpha, 0.86). We identified 3 subscales, namely a 9-item Bias Awareness subscale (Cronbach's alpha, 0.86), a 7-item Bias Mitigation Practice subscale (Cronbach's alpha, 0.82), and a 7-item Bias Mitigation Self-Efficacy subscale (Cronbach's alpha, 0.81). Validation of the Bias Awareness and Bias Mitigation Practice subscales in phase 3 demonstrated the instrument's high reliability (Cronbach's alpha 0.86 and 0.83, respectively) and discriminating performance among maternal healthcare professionals.
CONCLUSION
We developed a reliable and valid instrument for measuring awareness and mitigation of bias among maternal healthcare professionals. It can be used to evaluate implicit bias training and other bias mitigation interventions in maternal healthcare settings.

Identifiants

pubmed: 36682457
pii: S2589-9333(23)00014-9
doi: 10.1016/j.ajogmf.2023.100872
pii:
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

100872

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Kelly M Bower (KM)

Johns Hopkins University School of Nursing, Baltimore, MD (Drs Bower and Warren). Electronic address: kbower1@jhu.edu.

Briana Kramer (B)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Ms Kramer and Drs Stierman and Creanga).

Nicole Warren (N)

Johns Hopkins University School of Nursing, Baltimore, MD (Drs Bower and Warren).

Saifuddin Ahmed (S)

Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Dr Ahmed).

Jennifer Callaghan-Koru (J)

Department of Sociology, Anthropology, and Public Health, University of Maryland, Baltimore, MD (Dr Callaghan-Koru).

Elizabeth Stierman (E)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Ms Kramer and Drs Stierman and Creanga).

Cheri Wilson (C)

Office of Diversity, Inclusion and Health Equity, Johns Hopkins Medicine, Baltimore, MD (Ms Wilson).

Shari Lawson (S)

Department of Gynecology & Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD (Drs Lawson and Creanga).

Andreea A Creanga (AA)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (Ms Kramer and Drs Stierman and Creanga); Department of Gynecology & Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD (Drs Lawson and Creanga).

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